Abstract: A foldable mobile device is provided. The device includes an antenna cavity substantially enclosed by at least four conductor walls, and a gap between two substantially perpendicular conductor walls at a first side of the antenna cavity. The device further includes a cavity extension extending at a direction substantially perpendicular to the first side of the cavity and aligned with the gap. Devices, methods, and a non-transitory computer-readable medium are disclosed.

Abstract: A method and device for testing a memory and a method for simulated testing include operations as follows. First data is written into a to-be-tested storage unit through a Sense Amplifier (SA), second data different from the first data is written into the storage unit through the SA, and an amplification duration of the SA is shortened during the writing the second data, and data stored in the storage unit is read, and whether the storage unit is abnormal is determined according to the read data.

Abstract: A method and a device for testing a memory chip, a computer-readable storage medium and an electronic device are provided. The method for testing a memory chip includes the following operations. Test data is written into memory cells of the memory chip based on a target write time of the memory chip. Memory data is read from the memory cell based on a target read time of the memory chip (S110). A test result of the memory chip is determined based on the test data and the memory data (S120). The test data includes multiple different binary sequences, only one of data bits in each binary sequence is 1, the target write time is less than a standard write time of the memory chip, and the target read time is less than a standard read time of the memory chip.

Abstract: A method for testing a memory chip includes the following: test data is written into memory cells of a memory chip to be tested; stored data is read from memory cells; a test result of the memory chip to be tested is generated according to the test data and the stored data. A current voltage of bit line precharge (VBLP) of the memory chip to be tested is smaller than a standard VBLP of the memory chip to be tested, and/or a current sensing delay time (SDT) of the memory chip to be tested is smaller than a standard SDT of the memory chip to be tested.

Abstract: Provided are a sense amplifying circuit and method, and a semiconductor memory. The sense amplifying circuit includes: a transmission circuit, configured to receive a signal to be processed and perform transmission on the signal to be processed to obtain an initial transmission signal; and an amplifying circuit, configured to receive a first control signal and the signal to be processed, and perform amplification on the initial transmission signal according to the first control signal and the signal to be processed to obtain a target transmission signal.

Abstract: Provided are a memory detection method, a computer device and a storage medium. The method includes: initializing all storage units in a storage unit array; determining a plurality of target wordlines, two adjacent target wordlines being provided with a plurality of interfering wordlines therebetween; turning on the target wordlines, and performing a write operation on storage units connected to the target wordlines; performing repeatedly turn-on and turn-off of the interfering wordlines for a plurality of times; and performing a read operation on the storage units connected to the target wordlines. A write operation is performed on the storage units connected to the interfering wordlines by means of forced current sinking.

Abstract: A method and device for testing a memory are provided. The method includes the following operations. After activating at least one word line, at least two times of read operations are performed on a to-be-tested memory cell connected to the activated word line. Whether there is a read abnormality in the to-be-tested memory cell is determined according to an output signal obtained after the at least two times of read operations.

Abstract: The disclosed computer-implemented method may include accessing media segments that correspond to respective media items. At least one of the media segments may be divided into discrete video shots. The method may also include matching the discrete video shots in the media segments to corresponding video shots in the corresponding media items according to various matching factors. The method may further include generating a relative similarity score between the matched video shots in the media segments and the corresponding video shots in the media items, and training a machine learning model to automatically identify video shots in the media items according to the generated relative similarity score between matched video shots. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: A fracturing apparatus may include a power supply platform; a gas turbine engine; a generator; and one or more rectifiers. At least two of the gas turbine engine, the generator, and the one or more rectifiers are arranged on the power supply platform. A first end of the generator is connected to the gas turbine engine. A second end of the generator is connected to the one or more rectifiers. The generator is configured to output a voltage to the one or more rectifiers.

Abstract: This invention relates to indolizine derivatives and their use in medicine. In particular, the present invention discloses novel substituted indolizine derivatives of formula I, or an isotopically labeled compound thereof, or an optical isomer thereof, a geometric isomer thereof, a tautomer thereof or a mixture of various isomers, or a pharmaceutically acceptable salt thereof, or a prodrug thereof. The invention also relates to the use of these compounds in medicine.

Abstract: This application relates to a device for measuring a transmittance curve of an Fabry-Perot using a frequency comb light source and a method using the same. The device includes the following components sequentially arranged in an optical path: a single frequency pulse laser generating single frequency pulse laser; a frequency comb laser converting received single frequency pulse laser into frequency comb laser; and an Fabry-Perot to be detected receiving laser output from the frequency comb laser; where the device further includes a first receiving unit receiving laser from an output end of the frequency comb laser and performing component and spectrum analysis, and a second receiving unit receiving laser from an output end of the Fabry-Perot to be detected and performing component and spectrum analysis.

Abstract: A computer-implemented method, system and computer program product for accurately identifying an execution time of a performance test. Network latency data is grouped into clustered groups of network latency data. Furthermore, the performance test execution times for the same group of performance tests run in the local and remote cluster environments are obtained. The test execution times impacted by network latency (compensation times) are then determined based on such obtained performance test execution times in the local and remote cluster environments. Such compensation times are then grouped into clustered groups of compensation times. A regression model is built to predict a performance test execution time impacted by network latency (compensation time) using the clustered groups of network latency data and compensation times.

Abstract: The present application relates to the field of semiconductors, in particular, to the field of Dynamic Random Access Memories (DRAMs), and provides a method and system for detecting a mismatch of a sense amplifier. The method creates a sense amplifier by delaying switch-on of a positive channel-metal-oxide-semiconductor (PMOS) transistor or a negative channel-metal-oxide-semiconductor (NMOS) transistor in the sense amplifier and shortening a row precharge command period (tRP).

Abstract: Embodiments of the present disclosure relate to methods, systems, and computer program products for optimized prediction of a tree ensemble. According to a method, an input request is received, which indicates a plurality of input values for a plurality of variables associated with a tree ensemble. A plurality of target transformed intervals, into which the plurality of input values fall respectively, are determined by matching the plurality of input values with a plurality of sets of transformed intervals for the plurality of variables respectively. Respective prediction results for a plurality of tree models of the tree ensemble are determined based on the plurality of target transformed intervals and respective node hierarchies of the plurality of tree models. A tree ensemble prediction result is determined for the input request based on the determined prediction results of the plurality of tree models.

Abstract: One or more computer processors calculate a cache prediction for a received inference request within an inference cache structured as a self-learning tree, wherein the inference request comprises a set of input values. The one or more computer processors responsive to the retrieved cache prediction exceeding a cache prediction threshold, transmit the cache prediction. The one or more computer processors parallel compute a model prediction for the received inference request utilizing a trained model. The one or more computer processors responsive to the retrieved model prediction exceeding a model prediction threshold, convert the trained model into a tree structure. The one or more computer processors update the inference cache with the converted train model. The one or more computer processors transmit the model prediction.

Abstract: A remote reconfiguration system for an Internet of Things (IoT) intelligent sensing terminal includes: a controlled terminal with a field programmable gate array (FPGA); and a remote control unit connected to the controlled terminal and a control device; where the remote control unit is configured to receive control information sent by the control device, process the control information and send the processed control information to the FPGA, such that the FPGA performs remote local autonomous reconfiguration based on the preprocessed control information. The system resolves problems that a traditional IoT terminal cannot realize remote control and cannot follow functional requirements to perform local autonomous reconfiguration, and has better versatility and expandability.

Abstract: The present invention relates to benzimidazole derivatives of formula (I) as inhibitors of retinoid-related orphan receptor gamma (ROR?) protein, pharmaceutical compositions containing the compounds, preparation methods thereof, and the use of the compounds as therapeutic agents for the treatment of ROR?-mediated diseases or disorders.

Abstract: The present application discloses a cerebral perfusion state classification apparatus and method, a device, and a storage medium. The method includes: acquiring, by a transceiving module, cervical blood flow data from an ultrasound data collecting device; determining, by a processor, cerebral perfusion data corresponding to the cervical blood flow data based on the cervical blood flow data and a mapping relationship between the cervical blood flow data and the cerebral perfusion data, and classifying cerebral perfusion states of a plurality of brain regions based on blood perfusion characteristics of the plurality of brain regions in the cerebral perfusion data.

Abstract: The present disclosure discloses a cerebral perfusion state classification apparatus, method and device, and a model training apparatus. In the apparatus, a transceiver module is used for receiving physiological feature data from different data collection devices; and a processor is used for extracting physiological features from the physiological feature data; inputting the physiological features into a random forest model to cause a plurality of decision-making trees in the random forest model to predict a cerebral perfusion state type corresponding to the physiological features; and classifying a cerebral perfusion state based on the cerebral perfusion state type corresponding to the physiological features.

Abstract: An apparatus includes a switching circuit, a resonant circuit coupled to an output of the switching circuit, a rectification circuit coupled between the resonant circuit and an output of the apparatus, and a controller coupled to the switching circuit. The controller, during a soft start-up operation of the power supply, is configured to switch a plurality of switches with a variable limited maximum duty cycle at a minimum frequency and after the variable limited maximum duty cycle reaches the limited maximum duty cycle at the minimum frequency, simultaneously switch the frequency to a maximum frequency and switch the duty cycle to a minimum duty cycle at the maximum frequency for a same on-time as the limited maximum duty cycle at the minimum frequency.